Hybrid Intelligent Approach for the Selection of Third-Party Reverse Logistics Provider under Uncertainty

A hybrid intelligent approach is proposed to help the decision maker to select the appropriate third-party reverse logistics provider. The following process is included: firstly,the evaluation team is established to determine the selection criteria and evaluate them by triangular fuzzy numbers; secondly,calculate the weight of criteria by the proposed hybrid algorithm integrating particle swarm optimization( PSO) and simulated annealing( SA); then, the performance evaluation for each supplier is predicted by the proposed self-feedback neural network( SFBNN) based on the historical data. A numerical example is also presented to interpret the methodology above.

Multiple vehicle routing problem integrated reverse logistics with fuzzy reverse demands

A new type of vehicle routing problem （VRP）, multiple vehicle routing problem integrated reverse logistics （MVRPRL）, is studied. In this problem, there is delivery or pickup （or both） and uncertain features in the demands of the clients. The deliveries of every client as uncertain parameters are expressed as triangular fuzzy numbers. In order to describe MVRPRL, a multi-objective fuzzy programming model with credibility measure theory is constructed. Then the simulationbased tabu search algorithm combining inter-route and intra-route neighborhoods and embedded restarts are designed to solve it. Computational results show that the tabu search algorithm developed is superior to sweep algorithms and that compared with handling each on separate routes, the transportation costs can be reduced by 43% through combining pickups with deliveries.

Research on Technological Process Control Model of Reverse Logistics in Manufacturing System

This paper has found out some important input factors of reverse logistics in manufacturing system throuth analysis and summary,and established four kinds of technological process control models of reverse logistics in manufacturing system according to different processing methods. These models embed each other that form a cubic control system of reverse logistics.

Inventory control model based on external and interior reverse logistics

To improve the inventory control strategy for enterprise and optimize inventory control parameters of existing external and interior reverse logistics, a multi-resource inventory control model is proposed to better simulate the logistics fact, which is aimed at periodic inventory checking and pull mode of inventory control strategy, based on the return product arrival time obeying Poisson distribution, the return product employing lotsize process and the nonzero lead time of manufaeturinge/remanufacturing. The rational cost function with multiple constraints is employed to describe the inventory model. The genetic algorithm is employed to solve the inventory cost function to obtain the optimal solution of inventory checking periods, safe inventory point, product lot-sizes and process lot-sizes of return product. An example is presented to prove the feasibility and validity of the proposed method. Moreover, the influence of manufacturing/remanufacturing lead time and reuse rate of return production on the inventory control strategy of enterprise is analyzed.

An Overview of Reverse Logistics

Until recently, investment in logistics has focused mainly on the flows fromcompanies to markets. Growing concerns for the environment and conserving resources have created newlogistical approaches to more effectively manage the distribution function, and make better use ofthe resources a-vailable to an organization. One such approach is reverse logistics, which usesvarious methods to give scope for a back-load of finished products, components, waste, reusablepacking, etc. from consumer to manufacturer. Back-loads allow manufacturers to reduce costs by usingthe distribution vehicle''s return journey to create income or added value. This basic concept isnow being developed to create novel solutions to the problems of reducing pollution, costs andvehicle movements, whilst maintaining high customer service levels. In this paper, the idea ofreverse logistics is presented; motivations for it are analyzed , several successful practices aredemonstrated and some important truths regarding successful reverse logistics are identified, trendof reverse logistics is provided.

Exploration on the Development of Waste Household Appliance Reverse Logistics

China is not only the largest producer of electrical and electronic products, but also a big consumer. Over a long time, many products have reached the peak of being abandoned, with the increasingly awareness of environmental protection, developing an efficient recycling logistics system can not be delayed. It mainly leads to the concept of reverse logistics through analyzing the current situation of waste household appliances,and puts forward several suggestions for the current status and future development of reverse logistics.

A Review on Strategic, Tactical and Operational Decision Planning in Reverse Logistics of Green Supply Chain Network Design

The environmental impact has been a critical issue in supply chain network research. Handling it efficiently will help the firm reduce pollution and save cost. In order to improve the environmental effect on this supply chain network, recovery activity becomes a significant part in the reverse logistics network, due to complexity and heterogeneity. In a reverse logistics network, there are many decision problems to be taken into consideration such as facility location, capacity allocation, production planning and vehicle routing. Each of these problems can be categorized into three types of decision planning: strategic, tactical or operational, based on the time planning horizon. In this paper, we review the literature of supply chain network in an effort to achieve green through implementing reverse logistic practices, and classify the defined problems by the group of decision planning. In general, most of the literatures are focused on the strategic and tactical decision planning, only a few are operational-based. The objective of this paper is to analyze the decision planning being done in this area of research and provide future insights on how to design the reverse logistics network with different decision planning which will reflect the real life scenario.

Reverse Logistics Related to Waste Management with Emphasis on Developing CountriesmA Review Paper

This paper provides an overview of the state of art of reverse logistics and current status of waste management problems with special emphasis on developing countries. Logistics activities have been practiced and played a fundamental role in the global economic development for over 5,000 years. It has then been transformed into different logistics branches and elaborates the emergency of reverse logistics as one of the most important. The paper presents the evolution of logistics into reverse logistics and how it relates to waste management both in the developed and developing world. Reverse logistics is a relatively new phenomenon in the research area which is mainly referring to damaged goods, the take back of products that should be returned to the manufacturers or distributors. Reverse logistics is relatively more practiced in an organized way in the developed world than in the developing countries in that the latter provided less value additions on reversed products.

EP-based Optimization of Strategic Safety Stocks in Reverse Logistics Systems

A new heuristic strategic safety stock optimization is proposed based on evolutionary programming(EP) algorithm for reverse logistics supply chain systems. The supply chain is described with a network and the modeling complexity of external as well as internal product returns and reuses of supply chains is considered with. It is assumed that customer demands for final products are uncertain. Products are randomly returned from external customers to stock points. The optimization model is established and three different cases with different structures are used to show the strength of the algorithm.

Based on the Incentive Mechanism of Enterprise Reverse Logistics Research Literature Review

In recent years, along with the people environmental protection consciousness enhancement and the concept of circular economy enterprises to implement reverse logistics is imperative. In recent years, based on the incentive mechanism of reverse logistics literature has gradually emerged. In this paper, the concept of reverse logistics are introduced in detail, and compares the forward logistics and reverse logistics, analyzes the driving factor for the formation of reverse logistics, from the Angle of the government and the enterprise two introduces the related literature, the incentive mechanism on the basis of the summary, summarized the problems of enterprise reverse, government incentives for enterprises is discussed the importance of reverse logistics, based on the existing research results in recent years to sum up, the paper further research are pointed out.

The Status Quo of Reverse Logistics in China and Countermeasures

With the market competition becoming more and more fierce, awareness in the art and science of logistics is continuing to increase, and the field of Reverse Logistics is experiencing great interest. The purpose of this paper is to describe what Reverse Logistics is, what is it benefits, the status quo of Reverse Logistics in china and its difficulties, and give some suggestions and countermeasures on how to manage Reverse Logistics successfully under China＇s current situation.

Designing a Reverse Logistics Network Model for Waste Batteries

The logistics industry plays an important role in circular economy.Therefore,not only economic benefits,but also environmental protection factors have to be considered in reverse logistics.This paper uses the multi-objective 0-1 mixed integer programming to establish a reverse logistics network optimization model for waste batteries.The objective function is to minimize both,logistics costs and carbon dioxide emissions.The model considers the basic settings of reverse logistics(including recycling nodes,manufacturing,and processing nodes)and the material flow between different settings.In solving the model,Lingo 14.0 is used in this paper.An actual case of a waste battery reverse logistics enterprise verifies the effectiveness of the model in this paper.The results show that the application of this model can effectively improve the operating efficiency of waste battery reverse logistics enterprises.

Information System Construction and Function Module Design Based on Reverse Logistics

Reverse logistics are playing more and more important role with the development of competition and the social responsibility of enterprises.It could be divided into commission acceptance,recycling and returned goods handling.Reverse logistics information system consists of the database establishment,network structure and logic structure design.The collection,storage,processing,transmission and output functions of the reverse logistics information system were discussed in the thesis.Eventually,it established seven modules for the reverse logistics information system including the system management module,oriented module,returning goods processing module,reverse transportation management module,information sharing module,statistical analysis module and cost control module.

Facility location model for a remanufacturing logistics network

First a remanufactming logistics network is con- structed, in which the structure of both the forward logistics and the reverse logistics are of two levels and all the logistics facilities are capacitated. Both the remanufactming products and the new products can be used to meet the demands of customers. Moreover, it is assumed that homogeneous facilities can be designed together into integrated ones, based on which a mixed integer nonlinear programming （MINLP） facility location model of the remanufacturing logistics network with six types of facilities to be sited is built. Then an algorithm based on enumeration for the model is given. The feasible combinations of binary variables are searched by enumeration, and the remaining sub-problems are solved by the LP solver. Finally, the validities of the model and the algorithm are illustrated by means of an example. The result of the sensitivity analysis of parameters indicates that the integration of homogeneous facilities may influence the optimal solution of the problem to a certain degree.

Literature Review on Network Design Problems in Closed Loop and Reverse Supply Chains

The productivity of an organization is very much affected by non-value adding activity like logistics, which moves the resources from suppliers to factory, raw materials/semi-finished items within the factory and finished goods from factory to customers via a designated distribution channel called as forward logistics. In some cases, parts of the products such as automobiles, computers, cameras, mobile phones, washing machines, refrigerators, garments, footwear and empty glass bottles of beverages, etc. will be brought back to the factories as a product recovery strategy through reverse logistics network which is integrated in a sustainable closed loop supply chain network. So, it is highly essential to optimize the movement of the items in the reverse logistics network. This paper gives a comprehensive review of literature of the design of networks for the reverse logistics as well as for the reverse logistics coupled with forward logistics. The contributions of the researchers are classified into nine categories based on the methods used to design the logistics network.

Utilization of Logistical Regression to the Modified Sine-Gordon Model in the MST Experiment

In this paper, a logistical regression statistical analysis (LR) is presented for a set of variables used in experimental measurements in reversed field pinch (RFP) machines, commonly known as “slinky mode” (SM), observed to travel around the torus in Madison Symmetric Torus (MST). The LR analysis is used to utilize the modified Sine-Gordon dynamic equation model to predict with high confidence whether the slinky mode will lock or not lock when compared to the experimentally measured motion of the slinky mode. It is observed that under certain conditions, the slinky mode “locks” at or near the intersection of poloidal and/or toroidal gaps in MST. However, locked mode cease to travel around the torus;while unlocked mode keeps traveling without a change in the energy, making it hard to determine an exact set of conditions to predict locking/unlocking behaviour. The significant key model parameters determined by LR analysis are shown to improve the Sine-Gordon model’s ability to determine the locking/unlocking of magnetohydrodyamic (MHD) modes. The LR analysis of measured variables provides high confidence in anticipating locking versus unlocking of slinky mode proven by relational comparisons between simulations and the experimentally measured motion of the slinky mode in MST.

复合Logistic映射中的逆分岔与分形

利用分岔图,揭示出复合Logistic映射可按倍周期分岔走向混沌,且混沌区中存在混沌危机及逆分岔现象.同时,分析了复合Logistic映射临界点的轨道,给出了复合Logistic映射Mandelbrot-Julia集(简称M-J集)的定义,推广了Welstead和Cromer所提出的周期点查找技术,并利用该技术,构造出一系列复合Logistic映射的M-J集.在此基础上,研究了M-J集的对称性;探索了M集周期区域分布的拓扑不变性;通过定性地建立M集上J集的整体刻画,发现M集包含了J集构造的大量信息.

基于Logistic回归的上市公司亏损逆转识别模型研究

为了建立合理有效的上市公司亏损逆转识别模型,本文分别从亏损历史状态、公司财务状况、股利支付情况及投资者预期因素四个层面选取18个指标作为备选变量,并运用Logistic过程中逐步回归的方法从中选择了7个对因变量影响显著的自变量,然后以2005年度发生亏损的我国127家上市公司为样本,分别对亏损逆转样本组(88家)和非逆转样本组(39家)进行Logistic回归检验,并建立了最终的基于Lo-gistic回归的上市公司亏损逆转识别模型,最后通过检验样本组回代判定,发现该模型对识别亏损公司在亏损后第二年度是否会发生逆转情形具有较高的预测准确性。

基于LASSO logistic回归模型的轻度认知障碍逆转预测模型

目的探讨轻度认知障碍(mild cognitive impairment,MCI)患者逆转为认知正常(normal cognition,NC)的相关因素并建立预测模型。方法基于美国公共数据库NACC,数据包括社会人口学信息、体格检查、疾病史、认知功能、抑郁状况、精神症状和日常活动功能,构建LASSO logistic回归模型筛选自变量,通过十折交叉验证法选择模型中的最优调和系数λ;采用AIC和BIC与全变量logistic回归和逐步logistic回归进行比较,基于AUC、Brier评分和校准曲线分别评价预测模型的区分度和准确度,并绘制森林图和列线图。结果共纳入397例MCI患者,其中124例MCI患者逆转为NC,逆转率为31.23%。LASSO logistic回归模型(λ=0.044),纳入的自变量为年龄、BMI、高脂血症、维生素B12缺乏症、他人报告认知障碍、FAQ、MMSE、CDR和动物命名正确数;AIC=188.364,BIC=232.187,均低于全变量logistic回归(207.940/299.570)和逐步logistic回归(196.489/260.232);AUC、Brier评分和校准曲线均显示LASSO logistic回归模型的区分度和准确度更好。结论MCI患者逆转为NC受多个因素影响,应关注未患有高脂血症和维生素B12缺乏症、日常活动功能和认知功能较好的低龄MCI患者,对其进行健康管理干预和预防性护理,减少其未来疾病进展的风险。